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Financial Cryptography and Data Security

Overview of attention for book
Cover of 'Financial Cryptography and Data Security'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Stressing Out: Bitcoin “Stress Testing”
  3. Altmetric Badge
    Chapter 2 Why Buy When You Can Rent?
  4. Altmetric Badge
    Chapter 3 Automated Verification of Electrum Wallet
  5. Altmetric Badge
    Chapter 4 Blindly Signed Contracts: Anonymous On-Blockchain and Off-Blockchain Bitcoin Transactions
  6. Altmetric Badge
    Chapter 5 Proofs of Proofs of Work with Sublinear Complexity
  7. Altmetric Badge
    Chapter 6 Step by Step Towards Creating a Safe Smart Contract: Lessons and Insights from a Cryptocurrency Lab
  8. Altmetric Badge
    Chapter 7 EthIKS: Using Ethereum to Audit a CONIKS Key Transparency Log
  9. Altmetric Badge
    Chapter 8 On Scaling Decentralized Blockchains
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    Chapter 9 Bitcoin Covenants
  11. Altmetric Badge
    Chapter 10 Cryptocurrencies Without Proof of Work
  12. Altmetric Badge
    Chapter 11 Coercion-Resistant Internet Voting with Everlasting Privacy
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    Chapter 12 Selene: Voting with Transparent Verifiability and Coercion-Mitigation
  14. Altmetric Badge
    Chapter 13 On the Possibility of Non-interactive E-Voting in the Public-Key Setting
  15. Altmetric Badge
    Chapter 14 Efficiency Comparison of Various Approaches in E-Voting Protocols
  16. Altmetric Badge
    Chapter 15 Remote Electronic Voting Can Be Efficient, Verifiable and Coercion-Resistant
  17. Altmetric Badge
    Chapter 16 Universal Cast-as-Intended Verifiability
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    Chapter 17 Hiding Access Patterns in Range Queries Using Private Information Retrieval and ORAM
  19. Altmetric Badge
    Chapter 18 Optimizing MPC for Robust and Scalable Integer and Floating-Point Arithmetic
  20. Altmetric Badge
    Chapter 19 On-the-fly Homomorphic Batching/Unbatching
  21. Altmetric Badge
    Chapter 20 Using Intel Software Guard Extensions for Efficient Two-Party Secure Function Evaluation
  22. Altmetric Badge
    Chapter 21 CallForFire: A Mission-Critical Cloud-Based Application Built Using the Nomad Framework
  23. Altmetric Badge
    Chapter 22 Cryptographic Solutions for Genomic Privacy
Attention for Chapter 1: Stressing Out: Bitcoin “Stress Testing”
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
57 Mendeley
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Chapter title
Stressing Out: Bitcoin “Stress Testing”
Chapter number 1
Book title
Financial Cryptography and Data Security
Published in
Lecture notes in computer science, August 2016
DOI 10.1007/978-3-662-53357-4_1
Book ISBNs
978-3-66-253356-7, 978-3-66-253357-4
Authors

Khaled Baqer, Danny Yuxing Huang, Damon McCoy, Nicholas Weaver

Editors

Jeremy Clark, Sarah Meiklejohn, Peter Y.A. Ryan, Dan Wallach, Michael Brenner, Kurt Rohloff

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 56 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 26%
Student > Master 12 21%
Researcher 9 16%
Student > Bachelor 2 4%
Lecturer 2 4%
Other 5 9%
Unknown 12 21%
Readers by discipline Count As %
Computer Science 31 54%
Engineering 4 7%
Economics, Econometrics and Finance 3 5%
Chemical Engineering 1 2%
Business, Management and Accounting 1 2%
Other 2 4%
Unknown 15 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 June 2021.
All research outputs
#2,264,658
of 21,370,427 outputs
Outputs from Lecture notes in computer science
#496
of 8,057 outputs
Outputs of similar age
#56,115
of 422,073 outputs
Outputs of similar age from Lecture notes in computer science
#26
of 180 outputs
Altmetric has tracked 21,370,427 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,057 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 422,073 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 180 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.